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Unit 2: Data Mining Concept
2.14 summary notes
l z The information and knowledge gained can be used for applications ranging from business
management, production control, and market analysis, to engineering design and science
exploration.
l z Data mining can be viewed as a result of the natural evolution of information technology.
l z An evolutionary path has been witnessed in the database industry in the development of
data collection and database creation, data management and data analysis functionalities.
l z Data mining refers to extracting or “mining” knowledge from large amounts of data.
Some other terms like knowledge mining from data, knowledge extraction, data/pattern
analysis, data archaeology, and data dredging are also used for data mining.
l z Knowledge discovery as a process and consists of an iterative sequence of the data cleaning,
data integration, data selection data transformation, data mining, pattern evaluation and
knowledge presentation.
2.15 keywords
Data cleaning: To remove noise and inconsistent data.
Data integration: Multiple data sources may be combined.
Data mining: It refers to extracting or “mining” knowledge from large amounts of data.
Data selection: Data relevant to the analysis task are retrieved from the database.
Data transformation: Where data are transformed or consolidated into forms appropriate for
mining by performing summary or aggregation operations.
KDD: Many people treat data mining as a synonym for another popularly used term.
Knowledge presentation: Visualisation and knowledge representation techniques are used to
present the mined knowledge to the user.
Pattern evaluation: To identify the truly interesting patterns representing knowledge based on
some interestingness measures.
2.16 self assessment
Choose the appropriate answers:
1. KDD stands for
(a) Knowledge Design Database
(b) Knowledge Discovery Database
(c) Knowledge Discovery Design
(d) Knowledge Design Development
2. DBMS stands for
(a) Database Management Spot
(b) Design Management System
(c) Database Management System
(d) Database Manager System
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